For the second method, dissimilarity was represented by one minus the absolute value of the Spearman correlation of each protein with every other protein.

For the first, exclusive cluster analysis, we focused on PNCPs and proteins whose phosphor-ylation pattern was statistically most similar determined by both Euclidean distance and Spearman correlation (Figs 1 and S6).

This suggests that statistical relationships independently defined by Euclidean distance or Spearman correlation are equally valid.

In this graph, edges represent positive (yellow) or negative (blue) correlation, filtered to show only edges among proteins that clustered together and have a Spearman correlation coefficient greater than the absolute value of 0.5.

This graph is similar to Fig 2 except that edges represent Spearman correlation 2 absolute value of 0.5; positive correlations are yellow; negative, blue.

Edges represent Spearman correlation 2 absolute value of 0.5, with positive correlation represented as yellow, negative correlation, blue, filtered to show only co-clustered phosphorylation sites.

Fig 4A and 4C clearly demonstrate a negative correlation between node degree and dPLI (Spearman correlation coefficient = - 0.61, p< 0.01) and positive correlation between node degree and amplitude of oscillators ( Spearman correlation coefficient = 0.92, p<0.01) at coupling strength 8 = 3.

The strong negative correlation observed during the conscious state (Spearman correlation coefficient of -O.76 (p<0.01)) disappears during the unconscious state ( Spearman correlation coefficient of -0.04 (p<0.01)).

However, the correlation between node degree and amplitude for the EEG network differs from the models (nonsignificant Spearman correlation coefficient of 0.266 (p = 0.1) for the conscious state).

The spearman correlation coefficient was used for evaluating the correlations among node degree, amplitude and dPLI of the 64 channels (“corr.m” in Matlab).

While for simulated neurons with the same excitatory input strength, the stimulus synchronization limit of synchronized neurons decreased as the I/E ratio increased (P<0.001, Spearman correlation coefficient), we did not observe a statistically significant trend between the stimulus synchronization limit and I/ E ratio in mixed response neurons (P>0.05, Spearman correlation coefficient).

Comparing synchronized neurons with a fixed IE delay of 5 ms, we observed a highly significant correlation (r = 0.99, P<3.1x10'87, Spearman Correlation , Fig.

We observed a statistically significant correlation (r = 0.87, P< 1.5 X 10'”, Spearman Correlation , Fig.